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OpenAI Build Week

devpostHosted on Devpost

Fetched 17 minutes ago

Monday, July 13, 2026

to Wednesday, July 22, 2026

•

1 week long

Artificial IntelligenceDevOpsProductivity

Event Type

online

9,741

Participants

$100,000

Prize Pool

876

Est. Projects

OpenAI Build Week Challenge

GPT-5.6 is here, and Codex—the same powerful coding agent—is now available in ChatGPT.OpenAI Build Week is a chance to explore what's possible with GPT-5.6 and Codex. Experiment with new ideas, connect with other builders, and submit a project for a chance to win prizes and recognition.

Submissions are due Tuesday, July 21 at 5:00 PM PT.

How to participate

  1. Read the Official Rules. Review the challenge requirements, eligibility, and submission guidelines.

  2. Install the Devpost Hackathons Plugin. Access the challenge details, rules, and submission flow directly from the ChatGPT desktop or mobile app.

  3. Get set up with OpenAI. Sign up for an OpenAI account then request your free Codex credits on the Resources tab by Friday, July 17th at 12:00 PM PT.

  4. Explore the docs. Learn about GPT-5.6 and Codex with the available quickstart before you begin.

  5. Pick your track and build. Find the track that best fits your idea, then submit your project by Tuesday, July 21 at 5:00 PM PT.

Meet the Devpost plugin

The Devpost Hackathons plugin runs inside ChatGPT and includes everything you need to participate—from challenge requirements and rules to the submission flow. It can help you brainstorm ideas, plan your project, and prepare your submission without leaving Codex.

Sponsors

OpenAI image

OpenAI

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct